7 of 7 AWS Lambda Jobs in East Anglia

/Services/Solutions. Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization ETL - Design, implement & manage ETL processes - ensure accuracy, quality & consistency. Monitor daily Data Loads & ETL workflows. AWS - Support the migration of Data Services to AWS - scalable & cloud-first solutions. Deliver UK Data Roadmap - aligned to Data Infrastructure & Business Strategy. Gather & Define Requirements - identify new opportunities … User Support. Provide Governance, Security & Compliance - aligned to Data best practices. Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data … Income Protection/Life Assurance/Store Discount/Well Being Programme/Cycle to Work Scheme/Electric Car Salary Sacrifice Scheme. Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer. Cambridge, Permanent More ❯

the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories … using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and … data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and More ❯

the migration process. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration … large volumes of data and ensuring accuracy during migration processes. Effective communication skills to convey technical concepts and updates to diverse audiences, including non-technical stakeholders. Cloud certifications like AWS and Azure are preferred. Required Experience: Proven experience in data migration, data management, or ETL development. Experience working with ETL tools and database management systems. Familiarity with data integrity More ❯

the migration process. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration … large volumes of data and ensuring accuracy during migration processes. Effective communication skills to convey technical concepts and updates to diverse audiences, including non-technical stakeholders. Cloud certifications like AWS and Azure are preferred. Required Experience: Proven experience in data migration, data management, or ETL development. Experience working with ETL tools and database management systems. Familiarity with data integrity More ❯

frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to … introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data … standards. Background in Agile delivery and experience leading or mentoring QA teams. Strong analytical mindset with clear communication and stakeholder management skills. Relevant degree and/or certifications (e.g. AWS, ISTQB, Microsoft Data Analyst) preferred. What’s in It for You: 26 days’ annual leave plus bank holidays and two additional Life Days. Annual bonus and pension matching up More ❯

frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to … introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data … standards. Background in Agile delivery and experience leading or mentoring QA teams. Strong analytical mindset with clear communication and stakeholder management skills. Relevant degree and/or certifications (e.g. AWS, ISTQB, Microsoft Data Analyst) preferred. What’s in It for You: 26 days’ annual leave plus bank holidays and two additional Life Days. Annual bonus and pension matching up More ❯

frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD pipelines. Validate BI solutions across Power BI, Qlik, and AWS data platforms (S3, Redshift, Athena, etc.). Oversee end-to-end testing for data platforms, ensuring reliability, scalability, and compliance. Work closely with developers, analysts, and business teams to … introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation tools. Solid grasp of data governance, GDPR, and data … standards. Background in Agile delivery and experience leading or mentoring QA teams. Strong analytical mindset with clear communication and stakeholder management skills. Relevant degree and/or certifications (e.g. AWS, ISTQB, Microsoft Data Analyst) preferred. What’s in It for You: 26 days’ annual leave plus bank holidays and two additional Life Days. Annual bonus and pension matching up More ❯